EEG Motor Imagery Applications in Brain Computer Interface based Wheelchair Control
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Survey Paper | Computers in Biology and Medicine | Malaysia | Volume 8 Issue 11, November 2019 | Popularity: 6.6 / 10


     

EEG Motor Imagery Applications in Brain Computer Interface based Wheelchair Control

Ziadoon Tareq Abdulwahhab Al-qaysi, M.S.Suzani, Nazre bin Abdul Rashid


Abstract: Principally, this study gives an overview about the Neuronal oscillations appear throughout the nervous system in structures as well as, the range of frequencies of clinical and physiological interests for motor imagery EEG signal. In addition, a brief description about MI paradigm which is also known as movement imagery, which is a mental process through which a person imagines a physical action, such as jumping, or moving hands. In particular, event-related desynchronization (ERD) and synchronization (ERS). Finally, a set of studies have been listed towards highlights the advantages of using BCI Competition dataset which is a public dataset that have been widely used in the analysis of the EEG motor imagery signal methods and technique.


Keywords: EEG, Motor Imagery, Brain Computer Interface, Wheelchair


Edition: Volume 8 Issue 11, November 2019


Pages: 682 - 683



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Ziadoon Tareq Abdulwahhab Al-qaysi, M.S.Suzani, Nazre bin Abdul Rashid, "EEG Motor Imagery Applications in Brain Computer Interface based Wheelchair Control", International Journal of Science and Research (IJSR), Volume 8 Issue 11, November 2019, pp. 682-683, https://www.ijsr.net/getabstract.php?paperid=ART20202633, DOI: https://www.doi.org/10.21275/ART20202633